The Optimal Mars Entry Guidance with External Disturbance Using Neural Network Solution
In this study,a novel H∞ guidance strategy based on optimal control theory is proposed to guide the spacecraft landing on the Mars precisely.Initially,the error system of entry phase with the external disturbance is derived,and the method of tracking the nominal entry trajectory is adopted.Considering the difference of magnitudes order between several state variables concluding the altitude,the velocity and range,normalization strategy is used to avoid numerical problem.Subsequently,the H∞ optimal control theory is introduced,and the difficulty of the entry phase is that the Hamilton-Jacobi-Isaacs(HJI)equation with control constraint must be solved.So the neural network(NN)is introduced to get the solution of HJI equation approximately.Finally,simulation is done to demonstrate the H∞ guidance strategy.
Mars entry H∞ guidance HJI equation Neural network
Maomao Li Ruike Guo
Beijing Institute of Control Engineering,Beijing 100190,China
国际会议
江苏镇江
英文
521-528
2019-09-20（万方平台首次上网日期，不代表论文的发表时间）